Supplemental Material for Long-Term Cross-Over Effects of the Family Check-Up Prevention Program on Child and Adolescent Depression: Integrative Data Analysis of Three Randomized Trials

2021 ◽  
Keyword(s):  
Data Analysis ◽  
Prevention Program ◽  
Adolescent Depression ◽  
Randomized Trials ◽  
Child And Adolescent ◽  
Integrative Data Analysis ◽  
The Family

scholarly journals Two-Year Impact of Prevention Programs on Adolescent Depression: an Integrative Data Analysis Approach

2016 ◽  
Vol 19 (S1) ◽  
pp. 74-94 ◽  
Author(s):  
C. Hendricks Brown ◽  
Ahnalee Brincks ◽  
Shi Huang ◽  
Tatiana Perrino ◽  
Gracelyn Cruden ◽  
...  
Keyword(s):  
Data Analysis ◽  
Adolescent Depression ◽  
Prevention Programs ◽  
Analysis Approach ◽  
Integrative Data Analysis

Child and adolescent depression in the family.

2012 ◽  
Vol 1 (3) ◽  
pp. 161-184 ◽  
Author(s):  
Kevin D. Stark ◽  
Kelly N. Banneyer ◽  
Leah A. Wang ◽  
Prerna Arora
Keyword(s):  
Adolescent Depression ◽  
Child And Adolescent ◽  
The Family

The Maudsley long-term follow-up of child and adolescent depression

2005 ◽  
Vol 14 (7) ◽  
pp. 407-413 ◽  
Author(s):  
Paul McCrone ◽  
Martin Knapp ◽  
Eric Fombonne
Keyword(s):  
Adolescent Depression ◽  
Child And Adolescent ◽  
Long Term Follow Up

scholarly journals Advancing the Study of Adolescent Substance Use Through the Use of Integrative Data Analysis

2017 ◽  
Vol 41 (2) ◽  
pp. 216-245 ◽  
Author(s):  
Patrick J. Curran ◽  
Veronica Cole ◽  
Michael Giordano ◽  
A. R. Georgeson ◽  
Andrea M. Hussong ◽  
...  
Keyword(s):  
Substance Use ◽  
Data Analysis ◽  
Developmental Time ◽  
Individual Development ◽  
Integrative Data Analysis ◽  
Polysubstance Use ◽  
Time Period ◽  
Recommendations For Practice ◽  
Drug And Alcohol

A wealth of information is currently known about the epidemiology, etiology, and evaluation of drug and alcohol use across the life span. Despite this corpus of knowledge, much has yet to be learned. Many factors conspire to slow the pace of future advances in the field of substance use including the need for long-term longitudinal studies of often hard-to-reach subjects who are reporting rare and episodic behaviors. One promising option that might help move the field forward is integrative data analysis (IDA). IDA is a principled set of methodologies and statistical techniques that allow for the fitting of statistical models to data that have been pooled across multiple, independent samples. IDA offers a myriad of potential advantages including increased power, greater coverage of rare behaviors, more rigorous psychometric assessment of theoretical constructs, accelerated developmental time period under study, and enhanced reproducibility. However, IDA is not without limitations and may not be useful in a given application for a variety of reasons. The goal of this article is to describe the advantages and limitations of IDA in the study of individual development over time, particularly as it relates to trajectories of substance use. An empirical example of the measurement of polysubstance use is presented and this article concludes with recommendations for practice.

Coming Together Through Falling Apart

2019 ◽  
Vol 40 (2) ◽  
pp. 151-168
Author(s):  
Heather Churchill ◽  
Jeremy M. Ridenour
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Structural Changes ◽  
Systematic Approach ◽  
Qualitative Approach ◽  
Psychological Assessments ◽  
Transference And Countertransference ◽  
Testing Data ◽  
Psychoanalytically Oriented Psychotherapy

Abstract. Assessing change during long-term psychotherapy can be a challenging and uncertain task. Psychological assessments can be a valuable tool and can offer a perspective from outside the therapy dyad, independent of the powerful and distorting influences of transference and countertransference. Subtle structural changes that may not yet have manifested behaviorally can also be assessed. However, it can be difficult to find a balance between a rigorous, systematic approach to data, while also allowing for the richness of the patient’s internal world to emerge. In this article, the authors discuss a primarily qualitative approach to the data and demonstrate the ways in which this kind of approach can deepen the understanding of the more subtle or complex changes a particular patient is undergoing while in treatment, as well as provide more detail about the nature of an individual’s internal world. The authors also outline several developmental frameworks that focus on the ways a patient constructs their reality and can guide the interpretation of qualitative data. The authors then analyze testing data from a patient in long-term psychoanalytically oriented psychotherapy in order to demonstrate an approach to data analysis and to show an example of how change can unfold over long-term treatments.

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